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• W2939850829 abstract "Healthcare industry is one of the promising fields adopting the Internet of Things (IoT) solutions. In this paper, we study secret sharing mechanisms towards resolving privacy and security issues in IoT-based healthcare applications. In particular, we show how multiple sources are possible to share their data amongst a group of participants without revealing their own data to one another as well as the dealer. Only an authorised subset of participants is able to reconstruct the data. A collusion of fewer participants has no better chance of guessing the private data than a non-participant who has no shares at all. To realise this system, we introduce a novel research upon secret sharing in the encrypted domain. In modern healthcare industry, a patientos health record often contains data acquired from various sensor nodes. In order to protect information privacy, the data from sensor nodes is encrypted at once and shared among a number of cloud servers of medical institutions via a gateway device. The complete health record will be retrieved for diagnosis only if the number of presented shares meets the access policy. The retrieval procedure does not involve decryption and therefore the scheme is favourable in some time-sensitive circumstances such as a surgical emergency. We analyse the pros and cons of several possible solutions and develop practical secret sharing schemes for IoT- based healthcare systems." @default.
• W2939850829 created "2019-04-25" @default.
• W2939850829 creator A5014271344 @default.
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• W2939850829 date "2019-01-01" @default.
• W2939850829 modified "2023-09-30" @default.
• W2939850829 title "Algebraic secret sharing using privacy homomorphisms for IoT-basedhealthcare systems" @default.
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• W2939850829 doi "https://doi.org/10.3934/mbe.2019168" @default.
• W2939850829 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/31499618" @default.
• W2939850829 hasPublicationYear "2019" @default.
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